def test_flat(self):
unknowns_dict = OrderedDict()
unknowns_dict['C1.y1'] = {
'shape': (3, 2),
'size': 6,
'val': np.ones((3, 2))
}
unknowns_dict['C1.y2'] = {'shape': 1, 'size': 1, 'val': 2.0}
unknowns_dict['C1.y3'] = {'size': 0, 'val': "foo", 'pass_by_obj': True}
unknowns_dict['C2.y4'] = {
'shape': (2, 1),
'size': 2,
'val': np.zeros((2, 1)),
}
unknowns_dict['C2.s1'] = {
'shape': 1,
'size': 1,
'val': -1.0,
'state': True,
}
sd = _SysData('')
for u, meta in unknowns_dict.items():
meta['pathname'] = u
meta['top_promoted_name'] = u
sd.to_prom_name[u] = u
u = SrcVecWrapper(sd)
u.setup(unknowns_dict, store_byobjs=True)
self.assertTrue((np.array(u._dat['C1.y1'].val) == np.array(
[1., 1., 1., 1., 1., 1.])).all())
self.assertTrue(
(np.array(u._dat['C1.y2'].val) == np.array([2.])).all())
def test_view(self):
unknowns_dict = OrderedDict()
unknowns_dict['C1.y1'] = {
'shape': (3, 2),
'size': 6,
'val': np.ones((3, 2))
}
unknowns_dict['C1.y2'] = {'shape': 1, 'size': 1, 'val': 2.0}
unknowns_dict['C1.y3'] = {'size': 0, 'val': "foo", 'pass_by_obj': True}
unknowns_dict['C2.y4'] = {
'shape': (2, 1),
'val': np.zeros((2, 1)),
'size': 2,
}
unknowns_dict['C2.s1'] = {
'shape': 1,
'size': 1,
'val': -1.0,
'state': True,
}
sd = _SysData('')
for u, meta in unknowns_dict.items():
meta['pathname'] = u
meta['top_promoted_name'] = u
sd.to_prom_name[u] = u
u = SrcVecWrapper(sd, pbd)
u.setup(unknowns_dict, store_byobjs=True)
varmap = OrderedDict([
('C1.y1', 'y1'),
('C1.y2', 'y2'),
('C1.y3', 'y3'),
])
s = System()
s._sysdata = _SysData('')
s._probdata = pbd
uview = u.get_view(s, None, varmap)
self.assertEqual(list(uview.keys()), ['y1', 'y2', 'y3'])
uview['y2'] = 77.
uview['y3'] = 'bar'
self.assertEqual(uview['y2'], 77.)
self.assertEqual(u['C1.y2'], 77.)
self.assertEqual(uview['y3'], 'bar')
self.assertEqual(u['C1.y3'], 'bar')
# now get a view that's empty
uview2 = u.get_view(s, None, {})
self.assertEqual(list(uview2.keys()), [])
def create_src_vecwrapper(pathname, comm):
"""
Create a vecwrapper for source variables.
Args
----
comm : a fake communicator or None.
This arg is ignored.
Returns
-------
`SrcVecWrapper`
"""
return SrcVecWrapper(pathname, comm)
def test_norm(self):
unknowns_dict = OrderedDict()
unknowns_dict['y1'] = { 'shape': (2,1), 'size': 2, 'val' : np.array([2.0, 3.0]) }
unknowns_dict['y2'] = { 'shape': 1, 'size': 1, 'val' : -4.0 }
sd = _SysData('')
for u, meta in unknowns_dict.items():
meta['pathname'] = u
meta['top_promoted_name'] = u
sd.to_prom_name[u] = u
u = SrcVecWrapper(sd, pbd)
u.setup(unknowns_dict, store_byobjs=True)
unorm = u.norm()
self.assertAlmostEqual(unorm, np.linalg.norm(np.array([2.0, 3.0, -4.0])))
def create_src_vecwrapper(sysdata, comm):
"""
Create a vecwrapper for source variables.
Args
----
sysdata : _SysData
A data object for System level data.
comm : a fake communicator or None.
This arg is ignored.
Returns
-------
`SrcVecWrapper`
"""
return SrcVecWrapper(sysdata, comm)
def test_bad_set_unknown(self):
unknowns_dict = OrderedDict()
unknowns_dict['y1'] = { 'shape': (3,2), 'size': 6, 'val': np.ones((3, 2)) }
sd = _SysData('')
for u, meta in unknowns_dict.items():
meta['pathname'] = u
meta['top_promoted_name'] = u
sd.to_prom_name[u] = u
u = SrcVecWrapper(sd, pbd)
u.setup(unknowns_dict, store_byobjs=True)
try:
u['A.y1'] = np.zeros((3, 2))
except KeyError as err:
self.assertEqual(str(err), "'A.y1'")
else:
self.fail('KeyError expected')
def create_src_vecwrapper(sysdata, probdata, comm):
"""
Create a vecwrapper for source variables.
Args
----
sysdata : _SysData
A data object for System level data.
probdata : _ProbData
A data object for Problem level data that we need in order to store
flags that span multiple layers in the hierarchy.
comm : a fake communicator or None.
This arg is ignored.
Returns
-------
`SrcVecWrapper`
"""
return SrcVecWrapper(sysdata, probdata, comm)
def test_vecwrapper(self):
unknowns_dict = OrderedDict()
unknowns_dict['y1'] = {
'shape': (3, 2),
'size': 6,
'val': np.ones((3, 2))
}
unknowns_dict['y2'] = {'shape': 1, 'size': 1, 'val': 2.0}
unknowns_dict['y3'] = {'size': 0, 'val': "foo", 'pass_by_obj': True}
unknowns_dict['y4'] = {
'shape': (2, 1),
'size': 2,
'val': np.zeros((2, 1)),
}
unknowns_dict['s1'] = {
'shape': 1,
'size': 1,
'val': -1.0,
'state': True,
}
sd = _SysData('')
for u, meta in unknowns_dict.items():
meta['pathname'] = u
meta['top_promoted_name'] = u
sd.to_prom_name[u] = u
u = SrcVecWrapper(sd)
u.setup(unknowns_dict, store_byobjs=True)
self.assertEqual(u.vec.size, 10)
self.assertEqual(len(u), 5)
self.assertEqual(list(u.keys()), ['y1', 'y2', 'y3', 'y4', 's1'])
self.assertTrue(np.all(u['y1'] == np.ones((3, 2))))
self.assertEqual(u['y2'], 2.0)
self.assertEqual(u['y3'], 'foo')
self.assertTrue(np.all(u['y4'] == np.zeros((2, 1))))
self.assertEqual(u['s1'], -1.0)
self.assertEqual([t[0] for t in u.vec_val_iter()],
['y1', 'y2', 'y4', 's1'])
u['y1'] = np.ones((3, 2)) * 3.
u['y2'] = 2.5
u['y3'] = 'bar'
u['y4'] = np.ones((2, 1)) * 7.
u['s1'] = 5.
self.assertTrue(np.all(u['y1'] == np.ones((3, 2)) * 3.))
self.assertTrue(np.all(u['y4'] == np.ones((2, 1)) * 7.))
self.assertEqual(u['y2'], 2.5)
self.assertEqual(u['y3'], 'bar')
self.assertEqual(u['s1'], 5.)
# set with a different shaped array
try:
u['y1'] = np.ones((3, 3))
except Exception as err:
self.assertEqual(
str(err),
"could not broadcast input array from shape (9) into shape (6)"
)
else:
self.fail("Exception expected")
params = OrderedDict()
params['y1'] = {'shape': (3, 2), 'size': 6, 'val': np.ones((3, 2))}
params['y2'] = {'shape': 1, 'size': 1, 'val': 2.0}
params['y3'] = {'size': 0, 'val': "foo"}
params['y4'] = {'shape': (2, 1), 'size': 6, 'val': np.zeros((2, 1))}
for p, meta in params.items():
meta['pathname'] = p
meta['top_promoted_name'] = p
sd.to_prom_name[u] = u
connections = {}
for p in params:
connections[p] = (p, None)
s = _SysData('')
s._unknowns_dict = u._dat
p = TgtVecWrapper(s)
p.setup(None, params, u, params.keys(), connections, store_byobjs=True)
self.assertEqual(p.vec.size, 9)
self.assertEqual(len(p), 4)
self.assertEqual(list(p.keys()), ['y1', 'y2', 'y3', 'y4'])
self.assertTrue(np.all(p['y1'] == np.zeros((3, 2))))
self.assertEqual(p['y2'], 0.)
self.assertEqual(p['y3'], 'bar')
self.assertTrue(np.all(p['y4'] == np.zeros((2, 1))))
p['y1'] = np.ones((3, 2)) * 9.
self.assertTrue(np.all(p['y1'] == np.ones((3, 2)) * 9.))
